Development of a sandwich hybridization assay for the identification and quantification of red drum (Sciaenops ocellatus) eggs: a novel tool for fishery research and management

Author:

Mortensen Rebecca A.1,Arnott Stephen A.2,Jones William J.34,Greenfield Dianne I.5

Affiliation:

1. Graduate Program in Marine Biology, College of Charleston, 205 Fort Johnson Road, Charleston, SC 29412, USA.

2. Marine Resources Research Institute, South Carolina Department of Natural Resources, 217 Fort Johnson Road, Charleston, SC 29412, USA.

3. University of South Carolina, Department of Environmental Health Sciences, 921 Assembly Street, Columbia, SC 29208, USA.

4. Marine Sciences Program, University of South Carolina, 712 Main Street, PSC 108, Columbia, SC 29208, USA.

5. Belle W. Baruch Institute for Marine and Coastal Sciences, University of South Carolina, Hollings Marine Laboratory, 331 Fort Johnson Road, Charleston, SC 29412, USA; Marine Sciences Program, University of South Carolina, 712 Main Street, PSC 108, Columbia, SC 29208, USA; Marine Resources Research Institute, South Carolina Department of Natural Resources, 217 Fort Johnson Road, Charleston SC 29412, U SA.

Abstract

Egg identification and quantification are crucial to understanding the spawning and recruitment dynamics of economically important fish species. This study describes the development of a novel molecular method for finfish egg identification that eliminates the need for time-consuming microscopy. Sandwich hybridization assay (SHA) uses two ribosomal RNA (rRNA)-targeted oligonucleotides to directly detect unpurified and unamplified rRNA. Probes were designed to complement the internal transcribed spacer (ITS) region of the red drum (Sciaenops ocellatus), an important recreational game fish for which spawning and reproductive information is sparse. Sample homogenization procedures were modified to disrupt egg chorion, and the resultant assay detected S. ocellatus eggs and tissues without cross-reactivity. Standard curves were linear (y450 = 0.001x + 0.054; R2 = 0.999), showing potential for quantitative uses, and the lower limit of detection was 5 eggs·mL−1 homogenate. Ontogenetic stage had a significant effect (ANOVA, p < 0.05) on optical density. The assay successfully detected S.ocellatus eggs in field samples from Charleston Harbor, South Carolina, and could be incorporated into current management practices or adapted to other species.

Publisher

Canadian Science Publishing

Subject

Aquatic Science,Ecology, Evolution, Behavior and Systematics

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